Some questions about the HRRSD2SSDD‘s experiment

[2000YWQ]

Hello, Thanks for your amazing work.I am very interested in this experiment, and since the fields of optical and sar images are very different, would like to know if you handled this experiment any differently from the other experiments you have handled? Also, if I want to train my own dataset do I need to do some other processing?

[h751410234]

No additional processing is needed; just make sure to convert the dataset into COCO format.

[2000YWQ]

Thank you for your reply, but when I did this experiment I found that my map was always 0, I only adjusted the batch size to 2 , and I am sure that my dataset & annotation file is correct!What's wrong with this situation? ![Uploading image.png…]() {"train_lr": 0.00019999999999999304, "train_class_error": 0.9699769053117783, "train_grad_norm": 103.37170210248053, "train_loss": 18.417914370851758, "train_loss_ce": 0.9168770848491657, "train_loss_bbox": 0.8340952823398845, "train_loss_giou": 0.8046983065561114, "train_loss_ce_0": 0.9139319268341325, "train_loss_bbox_0": 0.8937183832771233, "train_loss_giou_0": 0.8437267146815328, "train_loss_ce_1": 0.9164446512043614, "train_loss_bbox_1": 0.8545992621511015, "train_loss_giou_1": 0.819688779446049, "train_loss_ce_2": 0.9165621747017578, "train_loss_bbox_2": 0.8487628837862411, "train_loss_giou_2": 0.815263585460654, "train_loss_ce_3": 0.9058292904916041, "train_loss_bbox_3": 0.8461210940678455, "train_loss_giou_3": 0.8165411360819951, 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[h751410234]

I think if the result is 0, it is probably still an issue with data processing. You should check whether the data labels for the source domain and target domain are misaligned, such as if the class label for the source domain is 0 and the class label for the target domain is 1. If you still can't find the problem, you can send me a private message with your email, and I'll send you my COCO format JSON file.

[2000YWQ]

Thank you very much for your advice, by checking the class label for the source domain and the class label for the target domain is . I finally solved the problem!